An Activity-Based Travel Personalization Tool Driven by the Genetic Algorithm

Table 4

The results of user B’s daily activity chain optimization.

User B
The best-fit solution offered			The best-fit solution with the alternative mode
PT + walking			Cycling
The IDs of the activities in an order	Start time	End time	The IDs of the activities in an order	Start time	End time
0 M		08:00	0		08:00
6 M	08:03	08:23	6	08:05	08:25
1 M	09:00	14:00	1	09:00	14:00
2 W	14:30	15:15	2	14:30	15:15
4 W	15:16	15:46	4	15:17	15:47
5 M	15:46	16:06	3	15:47	16:17
3 W	16:08	16:38	5	16:19	16:39
7	16:39		7	16:43
Total absolute travel time: 23.3 minutes			Total absolute travel time: 34.6 minutes
Estimated congestion delay 0 minute			Estimated congestion delay: 0 minute
Estimated out-vehicle time: 20 minutes			Estimated out-vehicle time: 0 minute
Utility score: 868.7			Utility score: 195.8

M = metro, T = tram, W = walking;  = flexible location priority.